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Plant-wide modelling for assessment and optimization of upgraded full-scale wastewater treatment plant performance
Author(s) -
Nadja Hvala,
Darko Vrečko,
Cirila Bordon
Publication year - 2018
Publication title -
water practice and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.243
H-Index - 15
ISSN - 1751-231X
DOI - 10.2166/wpt.2018.070
Subject(s) - effluent , sewage treatment , wastewater , anoxic waters , activated sludge model , environmental science , activated sludge , anaerobic digestion , biogas , phosphorus , pilot plant , denitrification , environmental engineering , waste management , nitrogen , engineering , chemistry , environmental chemistry , methane , organic chemistry
This paper presents the design of a plant-wide CNP (carbon-nitrogen-phosphorus) simulation model of a full-scale wastewater treatment plant, which will be upgraded for tertiary treatment to achieve compliance with effluent total nitrogen (TN) and total phosphorus (TP) limit values. The plant-wide model of the existing plant was first designed and extensively validated under long-term dynamic operation. The most crucial step was a precise characterization of input wastewater that was performed by extending the plant performance indicators both to a water line and sludge line and systematically estimating identifiable wastewater characterization parameters from plant-wide performance indicators, i.e. effluent concentrations, biogas and sludge production, and sludge composition. The thus constructed simulationmodel with standard activated sludgemodel (ASM2d) and anaerobic digestion model (MantisAD) overpredicted ortho-P and ammonia-N on the sludge line, indicating a need to integrate state-of-the-art physico-chemical minerals precipitation models to simulate plant-wide interactions more precisely. The upgraded plant with multimode anaerobic/anoxic/oxic configuration shows limited denitrification potential. Therefore, additional reject water treatment was evaluated to improve effluent TN and TP performance.

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